Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Deciphering conformational preferences of RNA in protein-RNA recognition

Conformational plasticity of RNAs plays important roles in recognizing RNA-binding proteins, and is ...

CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data

Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range ...

Design of DNA Aptamers for Lyme disease Diagnosis Combining experimental and numerical approaches

Aptamers are single stranded DNA or RNA molecules selected for their high affinity and specificity t...

Testing the mutation accumulation hypothesis in aging with AlphaGenome

The mutation accumulation (MA) hypothesis posits that somatic mutations progressively escape selecti...

AnnotX: An Edge-powered Laparoscopic Video Annotation Platform

Accurate and objective evaluation of surgical skill and performance is critical for advancing traini...

Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization

Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most comp...

A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Con...

Computational Imaging Priors for Wireless Capsule Endoscopy: Monte Carlo-Guided Hemoglobin Mapping for Rare-Anomaly Detection

Background. RGB-trained capsule-endoscopy classifiers underperform on small-vessel vascular findings...

Molecular Methods to Detect Vibrio cholerae and Associated Bacteriophages among Diarrheal Patients in Bangladesh

Molecular diagnostics to detect Vibrio cholerae (Vc) may be negatively impacted by pathogen-specific...

HAIRpred2: Human Host-Specific Prediction of Antibody-Interacting Residues Using Hybrid Physicochemical and Structural Features

Prediction of conformational B-cell epitopes is critical for vaccine design, immunotherapy, and anti...

TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles

State Space Models (SSMs) have emerged as a compelling alternative to attention models for long-rang...

Unified sampling framework and experimental benchmarking of sequence- and structure-based protein models

Generative models are increasingly used for protein design, but the lack of standardized evaluation ...

SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation

Video generation has advanced rapidly, producing photorealistic videos from text or image prompts. M...

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality

Artificial intelligence models are increasingly scaled to improve predictive accuracy, yet it remain...

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning

Robust urban autonomous driving requires reliable 3D scene understanding and stable decision-making ...

Integrating Diffusion and Liquid AI Models for Predicting Peptide Affinity from mRNA Display Selections

In vitro selection and directed evolution technologies such as mRNA display, explore large libraries...

DentaCoPilot: An LLM-Augmented Next-Procedure Recommender for General Dentistry, Designed for Dentist Augmentation

Background. Commercial dental artificial intelligence in 2026 is overwhelmingly diagnostic: caries, ...

Benchmarking and behavioral characterization of LLM agents for protein design

Large language models (LLMs) are increasingly deployed as agents for scientific discovery, but stand...

A widespread internal brain state for fentanyl withdrawal

Opioid addiction is characterized by escalating drug use, driven in part by negative reinforcement f...

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes

Can linearly decodable failure signals in LLM hidden states be leveraged to correct those failures? ...

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